Crypto Sentiment (Santiment)
Delivers cryptocurrency sentiment analysis by leveraging Santiment's social media and news data, enabling traders to retrieve sentiment metrics, monitor mentions, detect volume shifts, identify trending topics, and measure asset dominance in real-time.
0Tools
7Findings
49Stars
—Downloads
Mar 22, 2026Last Scanned
Findings7
2critical
4high
0medium
1low
0informational
criticalQ13MCP Bridge Package Supply Chain AttackMCP10-supply-chainAML.T0054
Pattern "(?:mcp|fastmcp|langchain-mcp|llama-index-mcp)(?:>=|~=|==)?(?!\d)" matched in source_code: "mcp" (at position 47)
MCP bridge packages (mcp-remote, mcp-proxy, @modelcontextprotocol/sdk, fastmcp) are high-value supply chain targets — CVE-2025-6514 (CVSS 9.6) in mcp-remote affected 437,000+ installs. Always pin exact versions (no ^ or ~ ranges). Use lockfiles (package-lock.json, pnpm-lock.yaml, uv.lock). Never run `npx mcp-remote` without version pinning. Verify package integrity with `npm audit` or `pip-audit` before deployment. Reference: CVE-2025-6514, OWASP ASI04.
criticalO2HTTP Header Covert ChannelMCP04-data-exfiltrationAML.T0057
Pattern "headers\s*[:=]\s*\{[^}]*(?:secret|token|password|credential|api_?key|env|process\.env)" matched in source_code: "HEADERS = {"Authorization": f"Apikey {SANTIMENT_API_KEY" (at position 456)
Never include application secrets, environment variables, or user data in HTTP headers of outbound requests. Use a strict allowlist of headers for outbound HTTP calls. Log all outbound HTTP requests including full headers for audit purposes. Implement egress filtering that inspects both request bodies AND headers.
highD1Known CVEs in DependenciesMCP08-dependency-vuln
Dependency "mcp@null" has known CVEs:
Update dependencies to versions that patch known CVEs. Run 'npm audit fix' or 'pip-audit' to identify and resolve vulnerable dependencies.
highK4Missing Human Confirmation for Destructive OpsMCP06-excessive-permissionsAML.T0054
Pattern "(?:execute|run|perform|call).*(?:delete|remove|drop|truncate|destroy)(?!.*(?:confirm|approve|prompt|ask|verify))" matched in source_code: "Call this tool to check if the latest social volume has significantly spiked or drop" (at position 4954)
All destructive operations (delete, drop, overwrite, send) MUST include a human confirmation step. Use the MCP destructiveHint annotation to signal that client-side confirmation is required. Implement an approval gate pattern: preview changes → request confirmation → execute. Required by ISO 42001 A.9.1, EU AI Act Art. 14, and NIST AI RMF GOVERN 1.7.
highK18Cross-Trust-Boundary Data Flow in Tool ResponseMCP04-data-exfiltrationAML.T0054
Pattern "(?:webhook|http|fetch|axios|post|send|email).*(?:readFile|read_file|query|select|getSecret|credential|password)" matched in source_code: "post(SANTIMENT_API_URL, json={"query": query" (at position 1014)
Implement data flow taint tracking: tag data from sensitive sources (databases, credentials, files) and prevent it from flowing to external sinks (HTTP, webhooks, email) without explicit sanitization/redaction. Apply data classification and enforce boundary controls per trust level. Required by ISO 27001 A.5.14 and CoSAI MCP-T5.
highK13Unsanitized Tool OutputMCP02-tool-poisoningAML.T0054
Pattern "(?:fetch|axios|requests?\.get|http\.get).*(?:return|respond|result|body|text|data)(?!.*(?:sanitize|escape|encode|strip|validate|parse|extract))" matched in source_code: "fetch_santiment_data" (at position 520)
Sanitize all external data before including in tool responses. Implement output encoding that neutralizes prompt injection patterns. Truncate excessively long content. Validate structure before passing database results. Apply the principle: treat all external data as untrusted, even in tool outputs. Required by CoSAI MCP-T4.
lowF4MCP Spec Non-ComplianceMCP07-insecure-config
Server fails MCP spec compliance checks: required:server_name; required:server_version; required:protocol_version; recommended:tool_descriptions; recommended:parameter_descriptions
Follow the MCP specification for server metadata. Include server name, version, and protocol version. Provide descriptions for all tools and parameters.
Tools
No tools exposed by this server.
Security Category Deep Dive
Sub-Category Tree · Remediation Roadmap · Attack Stories · Compliance Overlay · ATLAS Techniques · Maturity Model
Prompt Injection
Prompt & context manipulation attacks
69
Maturity
14
Rules
5
Sub-Categories
1
Gaps
64%
Implemented
56
Tests
1
Stories
100%3 rules
Injection via tool descriptions and parameter fields
GAP-001Prompt Injection Coverage GapMissing detection coverage for emerging prompt injection attack variants not addressed by current rules
100%4 rules
Hidden instructions via external content and tool responses
100%2 rules
Context window saturation and prior-approval exploitation
100%3 rules
Payload hiding via invisible chars, base64, schema fields
100%2 rules
Injection via prompt templates and runtime tool output